Multi-objective optimization of power distribution of hybrid power source based on differential evolution algorithm
The hybrid power source needs to achieve the excellent power distribution control to enhance the vehicle performance, the optimization algorithm can automatically seek the optimal target according to vehicle requirements to achieve the best power distribution of hybrid power source. Power consumptio...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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EDP Sciences
2022-08-01
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| Series: | Xibei Gongye Daxue Xuebao |
| Subjects: | |
| Online Access: | https://www.jnwpu.org/articles/jnwpu/full_html/2022/04/jnwpu2022404p918/jnwpu2022404p918.html |
| _version_ | 1797642001013800960 |
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| author | ZHANG Guofei LI Zhicheng REN Guizhou LI Yuyao QI Yizhong SI Yuanquan |
| author_facet | ZHANG Guofei LI Zhicheng REN Guizhou LI Yuyao QI Yizhong SI Yuanquan |
| author_sort | ZHANG Guofei |
| collection | DOAJ |
| description | The hybrid power source needs to achieve the excellent power distribution control to enhance the vehicle performance, the optimization algorithm can automatically seek the optimal target according to vehicle requirements to achieve the best power distribution of hybrid power source. Power consumption is one of the core indicators for evaluating power distribution control of hybrid power source, as well as the current fluctuation of battery is an important factor that affects its power consumption and cycle life. Taking the fully-active hybrid power source configuration as the application object, a differential evolution algorithm with fast convergence speed and strong global search ability to achieve real-time power distribution control with multiple optimization goals is introduced by fully considering two important parameters of power consumption and battery current fluctuation, the power consumption model for the hybrid power source is established, the functional relationship between the power consumption of hybrid power source, current change of battery and its output current is given. In this algorithm, the minimum power consumption of the hybrid power source and the minimum change rate of the battery output current are selected as the optimization goals, the weight coefficients of the two optimization goals are assigned to seek the influence relationship between the two optimization goals. The empirical results from a simulation verify effectiveness and reliability of the designed scheme. The research results provide a reference for controlling the power distribution and optimizing the hybrid power source of electric vehicle. |
| first_indexed | 2024-03-11T13:53:51Z |
| format | Article |
| id | doaj.art-05a1cff48667414fba5440075d15908f |
| institution | Directory Open Access Journal |
| issn | 1000-2758 2609-7125 |
| language | zho |
| last_indexed | 2024-03-11T13:53:51Z |
| publishDate | 2022-08-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Xibei Gongye Daxue Xuebao |
| spelling | doaj.art-05a1cff48667414fba5440075d15908f2023-11-02T07:21:26ZzhoEDP SciencesXibei Gongye Daxue Xuebao1000-27582609-71252022-08-0140491892510.1051/jnwpu/20224040918jnwpu2022404p918Multi-objective optimization of power distribution of hybrid power source based on differential evolution algorithmZHANG Guofei0LI Zhicheng1REN Guizhou2LI Yuyao3QI Yizhong4SI Yuanquan5School of Electromechanical and Automotive Engineering, Yantai UniversitySchool of Electromechanical and Automotive Engineering, Yantai UniversitySchool of Electromechanical and Automotive Engineering, Yantai UniversitySchool of Electromechanical and Automotive Engineering, Yantai UniversitySchool of Electromechanical and Automotive Engineering, Yantai UniversitySchool of Electromechanical and Automotive Engineering, Yantai UniversityThe hybrid power source needs to achieve the excellent power distribution control to enhance the vehicle performance, the optimization algorithm can automatically seek the optimal target according to vehicle requirements to achieve the best power distribution of hybrid power source. Power consumption is one of the core indicators for evaluating power distribution control of hybrid power source, as well as the current fluctuation of battery is an important factor that affects its power consumption and cycle life. Taking the fully-active hybrid power source configuration as the application object, a differential evolution algorithm with fast convergence speed and strong global search ability to achieve real-time power distribution control with multiple optimization goals is introduced by fully considering two important parameters of power consumption and battery current fluctuation, the power consumption model for the hybrid power source is established, the functional relationship between the power consumption of hybrid power source, current change of battery and its output current is given. In this algorithm, the minimum power consumption of the hybrid power source and the minimum change rate of the battery output current are selected as the optimization goals, the weight coefficients of the two optimization goals are assigned to seek the influence relationship between the two optimization goals. The empirical results from a simulation verify effectiveness and reliability of the designed scheme. The research results provide a reference for controlling the power distribution and optimizing the hybrid power source of electric vehicle.https://www.jnwpu.org/articles/jnwpu/full_html/2022/04/jnwpu2022404p918/jnwpu2022404p918.html混合电源功率分配控制差分进化算法功耗最小蓄电池电流变化率最小 |
| spellingShingle | ZHANG Guofei LI Zhicheng REN Guizhou LI Yuyao QI Yizhong SI Yuanquan Multi-objective optimization of power distribution of hybrid power source based on differential evolution algorithm Xibei Gongye Daxue Xuebao 混合电源 功率分配控制 差分进化算法 功耗最小 蓄电池电流变化率最小 |
| title | Multi-objective optimization of power distribution of hybrid power source based on differential evolution algorithm |
| title_full | Multi-objective optimization of power distribution of hybrid power source based on differential evolution algorithm |
| title_fullStr | Multi-objective optimization of power distribution of hybrid power source based on differential evolution algorithm |
| title_full_unstemmed | Multi-objective optimization of power distribution of hybrid power source based on differential evolution algorithm |
| title_short | Multi-objective optimization of power distribution of hybrid power source based on differential evolution algorithm |
| title_sort | multi objective optimization of power distribution of hybrid power source based on differential evolution algorithm |
| topic | 混合电源 功率分配控制 差分进化算法 功耗最小 蓄电池电流变化率最小 |
| url | https://www.jnwpu.org/articles/jnwpu/full_html/2022/04/jnwpu2022404p918/jnwpu2022404p918.html |
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